no code implementations • 3 Apr 2023 • F. O. de Franca, M. Virgolin, M. Kommenda, M. S. Majumder, M. Cranmer, G. Espada, L. Ingelse, A. Fonseca, M. Landajuela, B. Petersen, R. Glatt, N. Mundhenk, C. S. Lee, J. D. Hochhalter, D. L. Randall, P. Kamienny, H. Zhang, G. Dick, A. Simon, B. Burlacu, Jaan Kasak, Meera Machado, Casper Wilstrup, W. G. La Cava
Symbolic regression searches for analytic expressions that accurately describe studied phenomena.
no code implementations • 12 Apr 2022 • G. F. Bomarito, P. E. Leser, N. C. M Strauss, K. M. Garbrecht, J. D. Hochhalter
Interpretability and uncertainty quantification in machine learning can provide justification for decisions, promote scientific discovery and lead to a better understanding of model behavior.
BIG-bench Machine Learning Interpretable Machine Learning +3